Mancity Record EDA

Dataset statistics

Number of variables	19
Number of observations	456
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	64.2 KiB
Average record size in memory	144.3 B

Variable types

Numeric	14
Categorical	5

Alerts

`FTHG` is highly correlated with `HTHG` and 4 other fields	High correlation
`FTAG` is highly correlated with `HTAG`	High correlation
`HTHG` is highly correlated with `FTHG`	High correlation
`HTAG` is highly correlated with `FTAG`	High correlation
`HS` is highly correlated with `FTHG` and 5 other fields	High correlation
`AS` is highly correlated with `HS` and 5 other fields	High correlation
`HST` is highly correlated with `FTHG` and 1 other fields	High correlation
`AST` is highly correlated with `AS` and 2 other fields	High correlation
`HC` is highly correlated with `HS` and 3 other fields	High correlation
`AC` is highly correlated with `AS`	High correlation
`Home` is highly correlated with `FTHG` and 5 other fields	High correlation
`Away` is highly correlated with `FTHG` and 5 other fields	High correlation
`FTHG` is highly correlated with `HTHG` and 1 other fields	High correlation
`FTAG` is highly correlated with `HTAG`	High correlation
`HTHG` is highly correlated with `FTHG`	High correlation
`HTAG` is highly correlated with `FTAG`	High correlation
`HS` is highly correlated with `AS` and 4 other fields	High correlation
`AS` is highly correlated with `HS` and 4 other fields	High correlation
`HST` is highly correlated with `FTHG` and 1 other fields	High correlation
`AST` is highly correlated with `AS` and 2 other fields	High correlation
`HC` is highly correlated with `HS` and 2 other fields	High correlation
`AC` is highly correlated with `AS`	High correlation
`Home` is highly correlated with `HS` and 4 other fields	High correlation
`Away` is highly correlated with `HS` and 4 other fields	High correlation
`FTHG` is highly correlated with `HTHG` and 1 other fields	High correlation
`FTAG` is highly correlated with `HTAG`	High correlation
`HTHG` is highly correlated with `FTHG`	High correlation
`HTAG` is highly correlated with `FTAG`	High correlation
`HS` is highly correlated with `HST` and 2 other fields	High correlation
`AS` is highly correlated with `AST` and 2 other fields	High correlation
`HST` is highly correlated with `FTHG` and 1 other fields	High correlation
`AST` is highly correlated with `AS`	High correlation
`Home` is highly correlated with `HS` and 2 other fields	High correlation
`Away` is highly correlated with `HS` and 2 other fields	High correlation
`Away` is highly correlated with `Home`	High correlation
`Home` is highly correlated with `Away`	High correlation
`FTHG` is highly correlated with `HTHG` and 1 other fields	High correlation
`FTAG` is highly correlated with `HTAG` and 1 other fields	High correlation
`HTHG` is highly correlated with `FTHG`	High correlation
`HTAG` is highly correlated with `FTAG` and 1 other fields	High correlation
`HS` is highly correlated with `AS` and 4 other fields	High correlation
`AS` is highly correlated with `HS` and 4 other fields	High correlation
`HST` is highly correlated with `FTHG` and 2 other fields	High correlation
`AST` is highly correlated with `FTAG` and 4 other fields	High correlation
`HC` is highly correlated with `HS` and 3 other fields	High correlation
`AC` is highly correlated with `AS` and 2 other fields	High correlation
`Home` is highly correlated with `HS` and 5 other fields	High correlation
`Away` is highly correlated with `HS` and 5 other fields	High correlation
`Home` is uniformly distributed	Uniform
`Away` is uniformly distributed	Uniform
`FTHG` has 107 (23.5%) zeros	Zeros
`FTAG` has 148 (32.5%) zeros	Zeros
`HTHG` has 214 (46.9%) zeros	Zeros
`HTAG` has 256 (56.1%) zeros	Zeros
`HST` has 13 (2.9%) zeros	Zeros
`AST` has 18 (3.9%) zeros	Zeros
`HC` has 10 (2.2%) zeros	Zeros
`AC` has 13 (2.9%) zeros	Zeros
`HY` has 105 (23.0%) zeros	Zeros
`AY` has 63 (13.8%) zeros	Zeros

Reproduction

Analysis started	2022-08-11 16:09:39.238081
Analysis finished	2022-08-11 16:11:19.537416
Duration	1 minute and 40.3 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

FTHG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.782894737

Minimum	0
Maximum	8
Zeros	107
Zeros (%)	23.5%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.548843297
Coefficient of variation (CV)	0.8687239156
Kurtosis	0.5761832703
Mean	1.782894737
Median Absolute Deviation (MAD)	1
Skewness	0.8903394288
Sum	813
Variance	2.398915558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	118	25.9%
0	107	23.5%
2	103	22.6%
3	66	14.5%
4	33	7.2%
5	19	4.2%
6	7	1.5%
7	2	0.4%
8	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	107	23.5%
1	118	25.9%
2	103	22.6%
3	66	14.5%
4	33	7.2%
5	19	4.2%
6	7	1.5%
7	2	0.4%
8	1	0.2%

Value	Count	Frequency (%)
8	1	0.2%
7	2	0.4%
6	7	1.5%
5	19	4.2%
4	33	7.2%
3	66	14.5%
2	103	22.6%
1	118	25.9%
0	107	23.5%

FTAG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.346491228

Minimum	0
Maximum	6
Zeros	148
Zeros (%)	32.5%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.345120923
Coefficient of variation (CV)	0.9989823145
Kurtosis	0.8738614524
Mean	1.346491228
Median Absolute Deviation (MAD)	1
Skewness	1.069622398
Sum	614
Variance	1.809350299
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	148	32.5%
1	138	30.3%
2	87	19.1%
3	48	10.5%
4	22	4.8%
5	8	1.8%
6	5	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	148	32.5%
1	138	30.3%
2	87	19.1%
3	48	10.5%
4	22	4.8%
5	8	1.8%
6	5	1.1%

Value	Count	Frequency (%)
6	5	1.1%
5	8	1.8%
4	22	4.8%
3	48	10.5%
2	87	19.1%
1	138	30.3%
0	148	32.5%

HTHG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7785087719

Minimum	0
Maximum	5
Zeros	214
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9073925765
Coefficient of variation (CV)	1.165552155
Kurtosis	1.518867628
Mean	0.7785087719
Median Absolute Deviation (MAD)	1
Skewness	1.214041547
Sum	355
Variance	0.8233612878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	214	46.9%
1	157	34.4%
2	63	13.8%
3	17	3.7%
4	4	0.9%
5	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	214	46.9%
1	157	34.4%
2	63	13.8%
3	17	3.7%
4	4	0.9%
5	1	0.2%

Value	Count	Frequency (%)
5	1	0.2%
4	4	0.9%
3	17	3.7%
2	63	13.8%
1	157	34.4%
0	214	46.9%

HTAG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6228070175

Minimum	0
Maximum	5
Zeros	256
Zeros (%)	56.1%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8530782104
Coefficient of variation (CV)	1.369731211
Kurtosis	2.764802413
Mean	0.6228070175
Median Absolute Deviation (MAD)	0
Skewness	1.554441075
Sum	284
Variance	0.727742433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	256	56.1%
1	138	30.3%
2	45	9.9%
3	13	2.9%
4	3	0.7%
5	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	256	56.1%
1	138	30.3%
2	45	9.9%
3	13	2.9%
4	3	0.7%
5	1	0.2%

Value	Count	Frequency (%)
5	1	0.2%
4	3	0.7%
3	13	2.9%
2	45	9.9%
1	138	30.3%
0	256	56.1%

HS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.70394737

Minimum	0
Maximum	43
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	9
median	13
Q3	18
95-th percentile	25
Maximum	43
Range	43
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.488372168
Coefficient of variation (CV)	0.4734673882
Kurtosis	0.4969228272
Mean	13.70394737
Median Absolute Deviation (MAD)	4
Skewness	0.593353819
Sum	6249
Variance	42.0989734
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
10	33	7.2%
12	29	6.4%
16	28	6.1%
11	28	6.1%
13	27	5.9%
15	26	5.7%
19	25	5.5%
9	25	5.5%
8	23	5.0%
20	20	4.4%
Other values (24)	192	42.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.2%
2	5	1.1%
3	8	1.8%
4	13	2.9%
5	15	3.3%
6	17	3.7%
7	20	4.4%
8	23	5.0%
9	25	5.5%
10	33	7.2%

Value	Count	Frequency (%)
43	1	0.2%
35	1	0.2%
32	2	0.4%
31	1	0.2%
30	1	0.2%
29	1	0.2%
28	5	1.1%
27	3	0.7%
26	7	1.5%
25	6	1.3%

AS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.45614035

Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	7
median	11
Q3	15
95-th percentile	22
Maximum	28
Range	27
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.782718249
Coefficient of variation (CV)	0.5047701994
Kurtosis	-0.4552146649
Mean	11.45614035
Median Absolute Deviation (MAD)	4
Skewness	0.5211942598
Sum	5224
Variance	33.43983035
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
9	38	8.3%
7	33	7.2%
5	33	7.2%
6	31	6.8%
11	29	6.4%
8	27	5.9%
12	25	5.5%
10	22	4.8%
15	22	4.8%
13	22	4.8%
Other values (18)	174	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.2%
2	8	1.8%
3	15	3.3%
4	16	3.5%
5	33	7.2%
6	31	6.8%
7	33	7.2%
8	27	5.9%
9	38	8.3%
10	22	4.8%

Value	Count	Frequency (%)
28	1	0.2%
27	2	0.4%
26	3	0.7%
25	3	0.7%
24	5	1.1%
23	4	0.9%
22	9	2.0%
21	11	2.4%
20	11	2.4%
19	11	2.4%

HST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.85745614

Minimum	0
Maximum	24
Zeros	13
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	24
Range	24
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.570247829
Coefficient of variation (CV)	0.6095219056
Kurtosis	1.390920986
Mean	5.85745614
Median Absolute Deviation (MAD)	2
Skewness	0.8453990886
Sum	2671
Variance	12.74666956
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
4	57	12.5%
5	53	11.6%
3	48	10.5%
6	46	10.1%
7	40	8.8%
2	35	7.7%
8	32	7.0%
1	30	6.6%
9	30	6.6%
10	23	5.0%
Other values (10)	62	13.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	2.9%
1	30	6.6%
2	35	7.7%
3	48	10.5%
4	57	12.5%
5	53	11.6%
6	46	10.1%
7	40	8.8%
8	32	7.0%
9	30	6.6%

Value	Count	Frequency (%)
24	1	0.2%
19	1	0.2%
18	1	0.2%
16	4	0.9%
15	2	0.4%
14	2	0.4%
13	2	0.4%
12	17	3.7%
11	19	4.2%
10	23	5.0%

AST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.833333333

Minimum	0
Maximum	20
Zeros	18
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	11
Maximum	20
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.069643403
Coefficient of variation (CV)	0.6350986351
Kurtosis	1.338507461
Mean	4.833333333
Median Absolute Deviation (MAD)	2
Skewness	0.9034497361
Sum	2204
Variance	9.422710623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	61	13.4%
4	61	13.4%
3	61	13.4%
5	53	11.6%
6	48	10.5%
7	40	8.8%
1	34	7.5%
8	25	5.5%
9	20	4.4%
0	18	3.9%
Other values (7)	35	7.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18	3.9%
1	34	7.5%
2	61	13.4%
3	61	13.4%
4	61	13.4%
5	53	11.6%
6	48	10.5%
7	40	8.8%
8	25	5.5%
9	20	4.4%

Value	Count	Frequency (%)
20	1	0.2%
17	1	0.2%
14	2	0.4%
13	2	0.4%
12	9	2.0%
11	9	2.0%
10	11	2.4%
9	20	4.4%
8	25	5.5%
7	40	8.8%

HF
Real number (ℝ_≥0)

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.13596491

Minimum	2
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	8
median	10
Q3	12
95-th percentile	16
Maximum	21
Range	19
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.446791843
Coefficient of variation (CV)	0.3400556211
Kurtosis	-0.07635334074
Mean	10.13596491
Median Absolute Deviation (MAD)	2
Skewness	0.2958438778
Sum	4622
Variance	11.88037401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
11	53	11.6%
9	53	11.6%
12	47	10.3%
10	46	10.1%
8	43	9.4%
13	38	8.3%
6	33	7.2%
7	30	6.6%
5	28	6.1%
14	22	4.8%
Other values (10)	63	13.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	0.4%
3	2	0.4%
4	11	2.4%
5	28	6.1%
6	33	7.2%
7	30	6.6%
8	43	9.4%
9	53	11.6%
10	46	10.1%
11	53	11.6%

Value	Count	Frequency (%)
21	2	0.4%
20	1	0.2%
19	4	0.9%
18	3	0.7%
17	9	2.0%
16	10	2.2%
15	19	4.2%
14	22	4.8%
13	38	8.3%
12	47	10.3%

AF
Real number (ℝ_≥0)

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.04824561

Minimum	2
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	8
median	10
Q3	12
95-th percentile	16
Maximum	24
Range	22
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.446590478
Coefficient of variation (CV)	0.343004203
Kurtosis	0.2139603135
Mean	10.04824561
Median Absolute Deviation (MAD)	2
Skewness	0.3970287689
Sum	4582
Variance	11.87898593
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
10	60	13.2%
9	54	11.8%
7	49	10.7%
8	45	9.9%
11	37	8.1%
13	35	7.7%
12	34	7.5%
14	30	6.6%
6	28	6.1%
15	24	5.3%
Other values (10)	60	13.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.2%
3	8	1.8%
4	9	2.0%
5	18	3.9%
6	28	6.1%
7	49	10.7%
8	45	9.9%
9	54	11.8%
10	60	13.2%
11	37	8.1%

Value	Count	Frequency (%)
24	1	0.2%
20	3	0.7%
19	2	0.4%
18	5	1.1%
17	3	0.7%
16	10	2.2%
15	24	5.3%
14	30	6.6%
13	35	7.7%
12	34	7.5%

HC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.962719298

Minimum	0
Maximum	19
Zeros	10
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	19
Range	19
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.49642399
Coefficient of variation (CV)	0.5863807796
Kurtosis	0.5344533678
Mean	5.962719298
Median Absolute Deviation (MAD)	2
Skewness	0.7464268258
Sum	2719
Variance	12.22498072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	56	12.3%
4	55	12.1%
5	54	11.8%
8	47	10.3%
6	43	9.4%
7	39	8.6%
2	33	7.2%
9	25	5.5%
1	24	5.3%
10	22	4.8%
Other values (10)	58	12.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	2.2%
1	24	5.3%
2	33	7.2%
3	56	12.3%
4	55	12.1%
5	54	11.8%
6	43	9.4%
7	39	8.6%
8	47	10.3%
9	25	5.5%

Value	Count	Frequency (%)
19	1	0.2%
18	1	0.2%
17	2	0.4%
16	4	0.9%
15	1	0.2%
14	4	0.9%
13	9	2.0%
12	10	2.2%
11	16	3.5%
10	22	4.8%

AC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.903508772

Minimum	0
Maximum	16
Zeros	13
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	11
Maximum	16
Range	16
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.060472701
Coefficient of variation (CV)	0.6241393345
Kurtosis	0.3265221555
Mean	4.903508772
Median Absolute Deviation (MAD)	2
Skewness	0.7260309095
Sum	2236
Variance	9.366493156
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
4	70	15.4%
3	54	11.8%
6	52	11.4%
2	52	11.4%
1	46	10.1%
5	42	9.2%
7	41	9.0%
8	34	7.5%
9	16	3.5%
0	13	2.9%
Other values (6)	36	7.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	2.9%
1	46	10.1%
2	52	11.4%
3	54	11.8%
4	70	15.4%
5	42	9.2%
6	52	11.4%
7	41	9.0%
8	34	7.5%
9	16	3.5%

Value	Count	Frequency (%)
16	1	0.2%
14	3	0.7%
13	9	2.0%
12	2	0.4%
11	10	2.2%
10	11	2.4%
9	16	3.5%
8	34	7.5%
7	41	9.0%
6	52	11.4%

HY
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.489035088

Minimum	0
Maximum	6
Zeros	105
Zeros (%)	23.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.198850343
Coefficient of variation (CV)	0.805118934
Kurtosis	0.1203392228
Mean	1.489035088
Median Absolute Deviation (MAD)	1
Skewness	0.6639754279
Sum	679
Variance	1.437242144
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	144	31.6%
2	122	26.8%
0	105	23.0%
3	56	12.3%
4	23	5.0%
5	5	1.1%
6	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	105	23.0%
1	144	31.6%
2	122	26.8%
3	56	12.3%
4	23	5.0%
5	5	1.1%
6	1	0.2%

Value	Count	Frequency (%)
6	1	0.2%
5	5	1.1%
4	23	5.0%
3	56	12.3%
2	122	26.8%
1	144	31.6%
0	105	23.0%

AY
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.811403509

Minimum	0
Maximum	6
Zeros	63
Zeros (%)	13.8%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.227684949
Coefficient of variation (CV)	0.6777534342
Kurtosis	0.06641996586
Mean	1.811403509
Median Absolute Deviation (MAD)	1
Skewness	0.514257905
Sum	826
Variance	1.507210334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	139	30.5%
2	126	27.6%
3	89	19.5%
0	63	13.8%
4	30	6.6%
5	6	1.3%
6	3	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	63	13.8%
1	139	30.5%
2	126	27.6%
3	89	19.5%
4	30	6.6%
5	6	1.3%
6	3	0.7%

Value	Count	Frequency (%)
6	3	0.7%
5	6	1.3%
4	30	6.6%
3	89	19.5%
2	126	27.6%
1	139	30.5%
0	63	13.8%

HR
Categorical

Distinct	3
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

0.0	430
1.0	24
2.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1368
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	430	94.3%
1.0	24	5.3%
2.0	2	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	430	94.3%
1.0	24	5.3%
2.0	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	886	64.8%
.	456	33.3%
1	24	1.8%
2	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	912	66.7%
Other Punctuation	456	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	886	97.1%
1	24	2.6%
2	2	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	456	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1368	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	886	64.8%
.	456	33.3%
1	24	1.8%
2	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1368	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	886	64.8%
.	456	33.3%
1	24	1.8%
2	2	0.1%

AR
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

0.0	421
1.0	35

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1368
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	421	92.3%
1.0	35	7.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	421	92.3%
1.0	35	7.7%

Most occurring characters

Value	Count	Frequency (%)
0	877	64.1%
.	456	33.3%
1	35	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	912	66.7%
Other Punctuation	456	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	877	96.2%
1	35	3.8%

Other Punctuation

Value	Count	Frequency (%)
.	456	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1368	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	877	64.1%
.	456	33.3%
1	35	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1368	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	877	64.1%
.	456	33.3%
1	35	2.6%

Label
Categorical

Distinct	3
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

1.0	300
0.0	79
-1.0	77

Length

Max length	4
Median length	3
Mean length	3.168859649
Min length	3

Characters and Unicode

Total characters	1445
Distinct characters	4
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	300	65.8%
0.0	79	17.3%
-1.0	77	16.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	377	82.7%
0.0	79	17.3%

Most occurring characters

Value	Count	Frequency (%)
0	535	37.0%
.	456	31.6%
1	377	26.1%
-	77	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	912	63.1%
Other Punctuation	456	31.6%
Dash Punctuation	77	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	535	58.7%
1	377	41.3%

Other Punctuation

Value	Count	Frequency (%)
.	456	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	77	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1445	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	535	37.0%
.	456	31.6%
1	377	26.1%
-	77	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1445	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	535	37.0%
.	456	31.6%
1	377	26.1%
-	77	5.3%

Home
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

1	228
0	228

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	456
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Most occurring characters

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	456	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	456	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	228	50.0%
0	228	50.0%

Away
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

0	228
1	228

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	456
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	456	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	456	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	228	50.0%
1	228	50.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	FTHG	FTAG	HTHG	HTAG	HS	AS	HST	AST	HF	AF	HC	AC	HY	AY	AR	Label	Home
0	1.0	0.0	1.0	0.0	16.0	10.0	11.0	2.0	7.0	11.0	5.0	6.0	0.0	1.0	0.0	1.0	1
1	4.0	2.0	1.0	0.0	10.0	19.0	6.0	9.0	13.0	12.0	3.0	12.0	3.0	2.0	0.0	1.0	1
2	3.0	1.0	2.0	1.0	20.0	12.0	12.0	8.0	18.0	14.0	11.0	5.0	1.0	1.0	0.0	1.0	1
3	2.0	2.0	0.0	0.0	20.0	11.0	7.0	5.0	11.0	12.0	14.0	2.0	0.0	2.0	0.0	0.0	1
4	3.0	3.0	1.0	2.0	13.0	6.0	8.0	4.0	10.0	11.0	8.0	3.0	1.0	3.0	0.0	0.0	1
5	1.0	1.0	1.0	0.0	17.0	8.0	7.0	3.0	14.0	12.0	8.0	2.0	1.0	3.0	0.0	0.0	1
6	2.0	1.0	1.0	1.0	13.0	10.0	8.0	6.0	12.0	17.0	9.0	6.0	1.0	6.0	0.0	1.0	1
7	4.0	3.0	3.0	2.0	11.0	7.0	5.0	5.0	13.0	8.0	6.0	4.0	2.0	2.0	1.0	1.0	1
8	2.0	0.0	2.0	0.0	12.0	7.0	6.0	3.0	13.0	10.0	7.0	6.0	0.0	2.0	0.0	1.0	1
9	4.0	1.0	2.0	0.0	12.0	8.0	6.0	3.0	6.0	10.0	4.0	3.0	1.0	1.0	0.0	1.0	1

Last rows

	FTHG	FTAG	HTHG	HTAG	HS	AS	HST	AST	HF	AF	HC	AC	HY	AY	HR	AR	Label	Away
446	0.0	2.0	0.0	2.0	2.0	17.0	0.0	6.0	8.0	5.0	1.0	3.0	2.0	1.0	0.0	0.0	1.0	1
447	1.0	4.0	0.0	0.0	8.0	8.0	3.0	5.0	13.0	8.0	6.0	1.0	2.0	1.0	0.0	0.0	1.0	1
448	1.0	3.0	1.0	1.0	3.0	16.0	2.0	7.0	8.0	8.0	0.0	10.0	2.0	1.0	0.0	0.0	1.0	1
449	0.0	1.0	0.0	1.0	7.0	15.0	1.0	3.0	11.0	9.0	1.0	3.0	2.0	2.0	0.0	0.0	1.0	1
450	0.0	3.0	0.0	0.0	3.0	8.0	0.0	7.0	14.0	13.0	4.0	2.0	0.0	0.0	0.0	0.0	1.0	1
451	0.0	2.0	0.0	0.0	5.0	11.0	2.0	4.0	13.0	12.0	1.0	1.0	2.0	3.0	0.0	0.0	1.0	1
452	1.0	2.0	1.0	2.0	8.0	13.0	3.0	3.0	12.0	7.0	1.0	11.0	0.0	1.0	1.0	1.0	1.0	1
453	0.0	2.0	0.0	0.0	9.0	20.0	4.0	3.0	9.0	10.0	2.0	6.0	2.0	0.0	0.0	0.0	1.0	1
454	3.0	4.0	2.0	2.0	11.0	15.0	5.0	6.0	11.0	10.0	4.0	5.0	2.0	2.0	0.0	0.0	1.0	1
455	3.0	2.0	0.0	1.0	19.0	8.0	6.0	4.0	13.0	11.0	5.0	3.0	3.0	3.0	0.0	1.0	-1.0	1

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample